Deep learning and convolutional neural networks trained using back propagation have revolutionised many aspects of computer vision, especially within the last decade, though it has not made those computer vision techniques obsolete [1]}. In healthcare, areas such as traumatology are being positively impacted by these advances in vision especially when it comes to diagnostic imaging of x-rays, scans, etc. Analysing huge amounts of patient data such as scans or Magnetic Resonance Imaging (MRIs) are repetitive tasks for human experts and thus prone to errors for the human eye as a result of fatigue. Thus any assistance that automated processing can offer is to be welcomed.
